package com.heima.article.service.impl;

import com.alibaba.fastjson.JSON;
import com.baomidou.mybatisplus.core.toolkit.Wrappers;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.heima.article.mapper.ApArticleConfigMapper;
import com.heima.article.mapper.ApArticleContentMapper;
import com.heima.article.mapper.ApArticleMapper;
import com.heima.article.service.ApArticleService;
import com.heima.article.service.ArticleFreemarkerService;
import com.heima.common.constants.ArticleConstants;
import com.heima.common.redis.CacheService;
import com.heima.model.article.dtos.ArticleDto;
import com.heima.model.article.dtos.ArticleHomeDto;

import com.heima.model.article.pojos.ApArticle;
import com.heima.model.article.pojos.ApArticleConfig;
import com.heima.model.article.pojos.ApArticleContent;
import com.heima.model.article.vos.HotArticleVo;
import com.heima.model.common.dtos.ResponseResult;
import com.heima.model.common.enums.AppHttpCodeEnum;
import com.heima.model.mess.ArticleVisitStreamMess;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.BeansException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import java.util.Comparator;
import java.util.Date;
import java.util.List;
import java.util.stream.Collectors;

@Service
@Transactional
@Slf4j
public class ApArticleServiceImpl extends ServiceImpl<ApArticleMapper, ApArticle> implements ApArticleService {
    private final static short MAX_PAGE_SIZE = 50;   // 单页最大加载的数字
    @Autowired private ApArticleMapper apArticleMapper;
    @Autowired private ApArticleConfigMapper apArticleConfigMapper;
    @Autowired private ApArticleContentMapper apArticleContentMapper;
    @Autowired private ArticleFreemarkerService articleFreemarkerService;
    @Autowired private CacheService cacheService;

    /**
     * 更新文章的分值  同时更新缓存中的热点文章数据
     */
    @Override
    public void updateScore(ArticleVisitStreamMess mess) {
        //1.更新文章的阅读、点赞、收藏、评论的数量
        ApArticle apArticle = updateArticle(mess);    //调用《更新文章行为数量》方法，拿到更新行为数量后的 apArticle(文章)
        //2.计算文章的分值
        Integer score = computeScore(apArticle);    //调用《计算某一文章的具体分值》方法
        score = score * 3;

        //3.替换当前文章对应频道的热点数据，  //调用《替换数据并且存入到redis》方法
        replaceDataToRedis(apArticle, score, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + apArticle.getChannelId());

        //4.替换推荐对应的热点数据    //调用《替换数据并且存入到redis》方法
        replaceDataToRedis(apArticle, score, ArticleConstants.HOT_ARTICLE_FIRST_PAGE + ArticleConstants.DEFAULT_TAG);
    }

    /**
     * 替换数据并且存入到redis
     */
    private void replaceDataToRedis(ApArticle apArticle, Integer score, String s) {
        String articleListStr = cacheService.get(s);
        if (StringUtils.isNotBlank(articleListStr)) {
            List<HotArticleVo> hotArticleVoList = JSON.parseArray(articleListStr, HotArticleVo.class);

            boolean flag = true;

            //如果缓存中存在该文章，只更新分值
            for (HotArticleVo hotArticleVo : hotArticleVoList) {
                if (hotArticleVo.getId().equals(apArticle.getId())) {
                    hotArticleVo.setScore(score);
                    flag = false;
                    break;
                }}

            //如果缓存中不存在，查询缓存中分值最小的一条数据，进行分值的比较，如果当前文章的分值大于缓存中的数据，就替换
            if (flag) {
                if (hotArticleVoList.size() >= 30) {
                    hotArticleVoList = hotArticleVoList.stream().sorted(
                            Comparator.comparing(HotArticleVo::getScore).reversed()).collect(Collectors.toList());
                    HotArticleVo lastHot = hotArticleVoList.get(hotArticleVoList.size() - 1);    //拿到最后一条数据
                    if (lastHot.getScore() < score) {    //最后一条数据的分值如果小于上面计算好的分值(score = score * 3)
                        hotArticleVoList.remove(lastHot);    //就    把最后一条数据删除
                        HotArticleVo hot = new HotArticleVo();
                        BeanUtils.copyProperties(apArticle, hot);
                        hot.setScore(score);
                        hotArticleVoList.add(hot);
                    }
                } else {
                    HotArticleVo hot = new HotArticleVo();
                    BeanUtils.copyProperties(apArticle, hot);
                    hot.setScore(score);
                    hotArticleVoList.add(hot);
                }}
            //缓存到redis
            hotArticleVoList = hotArticleVoList.stream().sorted(
                    Comparator.comparing(HotArticleVo::getScore).reversed()).collect(Collectors.toList());    //根据分值排序
            cacheService.set(s, JSON.toJSONString(hotArticleVoList));
        }}

    /**
     * 更新文章行为数量
     */
    private ApArticle updateArticle(ArticleVisitStreamMess mess) {
        ApArticle apArticle = getById(mess.getArticleId());    //调用 IService 的 getById 方法
        apArticle.setCollection(apArticle.getCollection() == null ? 0 : apArticle.getCollection() + mess.getCollect());//数据库的 +页面传来的收藏数量
        apArticle.setComment(apArticle.getComment() == null ? 0 : apArticle.getComment() + mess.getComment());    //数据库的 + 页面传来的评论数量
        apArticle.setLikes(apArticle.getLikes() == null ? 0 : apArticle.getLikes() + mess.getLike());    //数据库的 + 页面传来的点赞数量
        apArticle.setViews(apArticle.getViews() == null ? 0 : apArticle.getViews() + mess.getView());    //数据库的 + 页面传来的浏览数量
        updateById(apArticle);
        return apArticle;
    }

    /**
     * 计算某一文章的具体分值
     */
    private Integer computeScore(ApArticle apArticle) {
        Integer score = 0;
        if(apArticle.getLikes() != null){
            score += apArticle.getLikes() * ArticleConstants.HOT_ARTICLE_LIKE_WEIGHT;    //如果Likes(点赞数量)不为null，权重加 3
        }

        if(apArticle.getViews() != null){
            score += apArticle.getViews();    //如果Views(阅读数量)不为null，权重加 1
        }

        if(apArticle.getComment() != null){
            score += apArticle.getComment() * ArticleConstants.HOT_ARTICLE_COMMENT_WEIGHT;    //如果Comment(评论数量)不为null，权重加 5
        }

        if(apArticle.getCollection() != null){
            score += apArticle.getCollection() * ArticleConstants.HOT_ARTICLE_COLLECTION_WEIGHT;    //如果Collection(收藏数量)不为null，权重加 8
        }
        return score;
    }




    /**
     * 加载文章列表
     * @param type      1 加载更多   2 加载最新
     * @param firstPage true 是首页   flase 非首页
     */
    @Override
    public ResponseResult load2(ArticleHomeDto dto, Short type, boolean firstPage) {
        //1、当前是首页
        if(firstPage){
            //从缓存中获取首页的热点文章数据，key：ArticleConstants.HOT_ARTICLE_FIRST_PAGE + dto.getTag()，Tag: 频道ID
            String jsonStr = cacheService.get(ArticleConstants.HOT_ARTICLE_FIRST_PAGE + dto.getTag());
            if(StringUtils.isNotBlank(jsonStr)){
                List<HotArticleVo> hotArticleVoList = JSON.parseArray(jsonStr, HotArticleVo.class);   //将 jsonStr 转成 HotArticleVo
                ResponseResult responseResult = ResponseResult.okResult(hotArticleVoList);
                return responseResult;
            }}
        //2、当前不是首页
        return load(type, dto);    //调用《根据参数加载文章列表》方法
    }


    //保存app端相关文章
    @Override
    public ResponseResult saveArticle(ArticleDto dto) {
//        try {
//            Thread.sleep(3000);
//        } catch (InterruptedException e) {
//            e.printStackTrace();
//        }

        //1.检查参数
        ApArticle apArticle = null;
        try {
            if(dto == null){
                return ResponseResult.errorResult(AppHttpCodeEnum.PARAM_INVALID);
            }

            apArticle = new ApArticle();
            BeanUtils.copyProperties(dto, apArticle);  //把 dto 的属性拷贝到 apArticle

            //2.判断是否存在id
            if(dto.getId() == null){
                //2.1 不存在id  保存  文章  文章配置  文章内容
                //保存文章
                save(apArticle);

                //保存配置
                ApArticleConfig apArticleConfig = new ApArticleConfig(apArticle.getId());  //这里只设置id就行，下载评论转发删除这些已经给了默认值
                apArticleConfigMapper.insert(apArticleConfig);

                //保存 文章内容
                ApArticleContent apArticleContent = new ApArticleContent();
                apArticleContent.setArticleId(apArticle.getId());
                apArticleContent.setContent(dto.getContent());
                apArticleContentMapper.insert(apArticleContent);
            }else {
                //2.2 存在id   修改  文章  文章内容
                //修改  文章
                updateById(apArticle);

                //修改文章内容
                ApArticleContent apArticleContent = apArticleContentMapper.selectOne(Wrappers.<ApArticleContent>lambdaQuery()
                                                    .eq(ApArticleContent::getArticleId, dto.getId()));  //判断 文章id 和文章表的 id 是否一样
                apArticleContent.setContent(dto.getContent());
                apArticleContentMapper.updateById(apArticleContent);
            }

            //异步调用 生成静态文件上传到minio中
            articleFreemarkerService.buildArticleToMinIO(apArticle, dto.getContent());

        } catch (Throwable e) {
            e.printStackTrace();
        }
        //3.结果返回  文章的id
        return ResponseResult.okResult(apArticle.getId());
    }


    /**
     * 根据参数加载文章列表
     * @param loadtype 1为加载更多  2为加载最新
     */
    @Override
    public ResponseResult load(Short loadtype, ArticleHomeDto dto) {
        //1.校验参数
        Integer size = dto.getSize();
        if(size == null || size == 0){
            size = 10;
        }
        size = Math.min(size,MAX_PAGE_SIZE);
        dto.setSize(size);

        //类型参数检验
        if(!loadtype.equals(ArticleConstants.LOADTYPE_LOAD_MORE)&&!loadtype.equals(ArticleConstants.LOADTYPE_LOAD_NEW)){
            loadtype = ArticleConstants.LOADTYPE_LOAD_MORE;
        }
        //文章频道校验
        if(StringUtils.isEmpty(dto.getTag())){
            dto.setTag(ArticleConstants.DEFAULT_TAG);
        }

        //时间校验
        if(dto.getMaxBehotTime() == null) dto.setMaxBehotTime(new Date());
        if(dto.getMinBehotTime() == null) dto.setMinBehotTime(new Date());
        //2.查询数据
        List<ApArticle> apArticles = apArticleMapper.loadArticleList(dto, loadtype);

        //3.结果封装
        ResponseResult responseResult = ResponseResult.okResult(apArticles);
        return responseResult;
    }
}
